Let’s walk you through a case study where a beauty brand tested A/B testing to compare the performance of two similar videos. One video was left to grow organically, and another was supported with bought views.
To determine which video receives the most interaction and shares, while comparing the impact of bought views vs organic reach.
Version A: A short 15-second product showcase with trending music.
Version B: A 30-second behind-the-scenes video, which incorporates a storytelling concept.
To ensure equal starting visibility for one video, 5000 views were bought for version B. The views were provided progressively over 48 hours to simulate spontaneous growth and prevent suspicion.
Version A was totally left to organic reach to see how the video would function without any extra boost.
Results after 48 hours
|
Metric
|
Version A
|
Version B
|
|
Views
|
1175
|
5320
|
|
Likes
|
235
|
760
|
|
Shares
|
20
|
40
|
|
Comments
|
12
|
29
|
Despite equal content quality, Version B received considerably more engagement, demonstrating that the additional exposure from bought views provided the videos with the good momentum needed to reach a larger audience.
Results After 7 days
|
Metric
|
Version A
|
Version B
|
|
Views
|
4100
|
6450
|
|
Likes
|
310
|
620
|
|
Shares
|
32
|
59
|
|
Comments
|
17
|
44
|
After 7 days, Version B still led in every key metric, proving that the initial visibility boost helped it gain lasting traction and organic growth.
Results After 15 days
|
Metric
|
Version A
|
Version B
|
|
Views
|
4450
|
7350
|
|
Likes
|
330
|
860
|
|
Shares
|
35
|
78
|
|
Comments
|
20
|
61
|
Even after two weeks, Version B continued to outperform Version A, showing that the storytelling content format combined with the initial paid visibility led to stronger engagement, more followers, and shares.
This case study clearly demonstrates that increasing one video’s visibility through bought views resulted in a meaningful advantage, not only in views but also in overall engagement.
If you’re testing video performance, purchasing high-quality views from reputable TikTok growth services can help you create a controlled environment, decrease algorithm bias, and make more informed decisions. Ensure to follow the right practices for A/B testing your TikTok content.